Projects per year
Abstract
Objectives: Head and neck squamous cell carcinoma (HNSCC) is often associated with chronic systemic inflammation (SI). In the present study, we assessed if DNA methylation-derived SI (mdSI) indices: Neutrophil-to-Lymphocyte ratio (mdNLR) and Lymphocyte-to-Monocyte ratio (mdLMR) are associated with the presence of HNSCC and overall survival (OS).
Materials and Methods: We used two peripheral blood DNA methylation datasets: an HNSCC case-control dataset (n= 183) and an HNSCC survival dataset (n= 407) to estimate mdSI indices. We then performed multivariate regressions to test the association between mdSI indices, HNSCC development and OS.
Results: Multivariate logistic regression revealed that elevated mdNLR was associated with increased odds of being an HNSCC case (OR=3.25, 95%CI = 2.14-5.34, P = 4x10-7) while the converse was observed for mdLMR (OR=0.88, 95%CI = 0.81-0.90, P = 2x10-3). In the HNSCC survival dataset, HPV16-E6 seropositive HNSCC cases had an elevated mdLMR (P = 9 x 10-5) and a lower mdNLR (P = 0.003) compared to seronegative patients. Multivariate Cox regression in the HNSCC survival dataset revealed that lower mdLMR (HR= 1.96, 95%CI =1.30-2.95, P = 0.0013) but not lower mdNLR (HR= 0.68, 95%CI = 0.46-1.00, P = 0.0501) was associated with increased risk of death.
Conclusion: Our results indicate that mdSI estimated by DNA methylation data is associated with the presence of HNSCC and overall survival. The mdSI indices may be used as a valuable research tool to reliably estimate SI in the absence of cell-based estimates. Rigorous validation of our findings in large prospective studies is warranted in the future.
Materials and Methods: We used two peripheral blood DNA methylation datasets: an HNSCC case-control dataset (n= 183) and an HNSCC survival dataset (n= 407) to estimate mdSI indices. We then performed multivariate regressions to test the association between mdSI indices, HNSCC development and OS.
Results: Multivariate logistic regression revealed that elevated mdNLR was associated with increased odds of being an HNSCC case (OR=3.25, 95%CI = 2.14-5.34, P = 4x10-7) while the converse was observed for mdLMR (OR=0.88, 95%CI = 0.81-0.90, P = 2x10-3). In the HNSCC survival dataset, HPV16-E6 seropositive HNSCC cases had an elevated mdLMR (P = 9 x 10-5) and a lower mdNLR (P = 0.003) compared to seronegative patients. Multivariate Cox regression in the HNSCC survival dataset revealed that lower mdLMR (HR= 1.96, 95%CI =1.30-2.95, P = 0.0013) but not lower mdNLR (HR= 0.68, 95%CI = 0.46-1.00, P = 0.0501) was associated with increased risk of death.
Conclusion: Our results indicate that mdSI estimated by DNA methylation data is associated with the presence of HNSCC and overall survival. The mdSI indices may be used as a valuable research tool to reliably estimate SI in the absence of cell-based estimates. Rigorous validation of our findings in large prospective studies is warranted in the future.
Original language | English |
---|---|
Pages (from-to) | 87-94 |
Number of pages | 8 |
Journal | Oral Oncology |
Volume | 85 |
Early online date | 5 Sept 2018 |
DOIs | |
Publication status | Published - 1 Oct 2018 |
Research Groups and Themes
- ICEP
Keywords
- DNA methylation
- Head and neck cancer
- Lymphocyte-to-monocyte ratio
- mdNLR
- Neutrophil-to-lymphocyte ratio
- Overall survival
- Systemic inflammation
Fingerprint
Dive into the research topics of 'DNA methylation derived systemic inflammation indices are associated with head and neck cancer development and survival'. Together they form a unique fingerprint.Projects
- 3 Finished
-
IEU 2 Relton Programme - Epigenetic Epidemiology
Relton, C. L. (Principal Investigator)
1/04/18 → 31/03/23
Project: Research
-
IEU: MRC Integrative Epidemiology Unit Quinquennial renewal
Gaunt, L. F. (Principal Investigator) & Davey Smith, G. (Principal Investigator)
1/04/18 → 31/03/23
Project: Research
-
Equipment
-
Illumina Array
Ring, S. M. (Manager)
Bristol Population Health Science InstituteFacility/equipment: Facility
Profiles
-
Professor George Davey Smith
- MRC Integrative Epidemiology Unit
- Bristol Medical School (PHS) - Professor of Clinical Epidemiology
Person: Academic , Member, Group lead
-
Professor Tom R Gaunt
- Bristol Medical School (PHS) - Professor of Health and Biomedical Informatics and MRC Investigator
- Bristol Population Health Science Institute
- MRC Integrative Epidemiology Unit - Programme lead
Person: Academic , Member
-
Dr Miranda Pring
- Bristol Dental School - Consultant Senior Lecturer in Oral Maxillofacial Pathology
Person: Academic